ZIP 49264 Property Distress & Foreclosure Data

Ingham County, Michigan's ZIP 49264 registers 22/100 composite distress, which DLRadar reads as low. Climate and flood risk are elevated too — climate & FEMA risk (85/100), flood (NFIP) exposure (71/100). The latent-versus-live split is 48/100 structural and 5/100 already moving. The most distinctive pressure shows up in structural risk (48/100), institutional ownership (39/100), mortgage stress (15/100). institutional ownership (39/100) and mortgage stress (15/100) stay muted.

Prices here sit in a expansion phase: values rose 5.0% over the trailing year, and 14% higher over three years (phase confidence 42/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Households earn a median $84,444 — near the roughly $78,000 national figure. A median home runs $235,700 here, or 2.4 times local income. Roughly 9.7% live below the poverty line. The tenure split is 89% owner-occupied to 11% rented. Around 39% of renters are cost-burdened. About 13% have a four-year degree. The ZIP holds roughly 576 housing units. On demographic stress specifically, 49264 scores 26/100. The vacancy rate is 6.0%. 1,571 residents call 49264 home, typically aged 45.

On balance, 49264 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

22/100
Composite stress
48/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 49264

Foreclosure activity0
Mortgage stress15
Climate / FEMA risk85
+9 more distress dimensions scored for this ZIP

Tax delinquency, institutional ownership, insurance pressure, NFIP/flood, construction lag, price dislocation and auction velocity — plus the 0 individual distressed properties (owner, address, APN, per-property score and exit read) are in the full DLRadar report.

Nearby ZIPs in Ingham County

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Deterministic. Every signal traces to a public dataset · methodology